Repository of Production Machine Learning

The Institute for Ethical Machine Learning compiled this amazing curated list of open source libraries that will help you deploy, monitor, version, scale, and secure your production machine learning.

🔍 Explaining predictions & models	🔏 Privacy preserving ML	📜 Model & data versioning
🏁 Model Training Orchestration	💪 Model Serving and Monitoring	🤖 Neural Architecture Search
📓 Reproducible Notebooks	📊 Visualisation frameworks	🔠 Industry-strength NLP
🧵 Data pipelines & ETL	🏷️ Data Labelling	🗞️ Data storage
📡 Functions as a service	🗺️ Computation distribution	📥 Model serialisation
🧮 Optimized calculation frameworks	💸 Data Stream Processing	🔴 Outlier and Anomaly Detection
🌀 Feature engineering	🎁 Feature Stores	⚔ Adversarial Robustness
💰 Commercial Platforms

Direct links to the sections of the Github repo

The Institute for Ethical Machine Learning is a think-tank that brings together with technology leaders, policymakers & academics to develop standards for ML.